Pearson BTEC Level 5 Higher National Diploma in Digital Technologies (Artificial Intelligence (AI) Solutions and Applications)
The Higher National Diploma (HND) in Digital Technologies aims to enhance your career and employability in the areas of Artificial Intelligence by developing your skillset through the study of deployed Intelligent Systems and evaluate technical and ethical challenges and opportunities.
Duration
Subject
Qualification level
Start date
Tuition fees**
About this Course
Course Overview
This diploma is equivalent the first two years of a bachelor’s degree, allowing students seamless transfers to a top-up degree with over 200 universities worldwide.
This course focuses on building current skills required in the field of Artificial Intelligence and Machine Learning and allows students to develop up-to-date knowledge in AI solutions and applications. Students will investigate AI fundamentals including data gathering, validation, and processing along with other related topics.
On successful completion of this course, students are introduced to the science behind machine intelligence and the philosophical debate around the ambitions of simulating human intelligence to solve real-world problems. Students will be guided to appreciate AI types and applications and develop a better understanding of issues related to intelligent agents. Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), Ambient Intelligence, the major differences between top-down and bottom-up approaches to AI, and understanding Machine Learning (ML) algorithms are also covered in this course.


What will you achieve?
Upon completing the Pearson BTEC Higher National Diplomas in Digital Technologies, students will gain a solid foundation in digital technology concepts and skills. At Level 4, they will develop core competencies, practical skills, and transferable abilities like communication and teamwork, preparing them for both higher education and entry-level roles. By Level 5, students will specialize in digital technology fields, equipping them with the knowledge and critical thinking required for degree-level study or roles with personal responsibility and decision-making. Overall, students will be ready to apply their expertise in real-world settings and advance their careers in digital technologies.
Career opportunities
- Machine Learning Specialist
- Big Data Specialist
- Business Intelligence Developer
- Big Data Architect
- AI Researcher
- AI Data Analyst

- Entry requirements
- Course outline
- Fee Structure
- Progression
Entry requirements
- 17+ years minimum
- BTEC Level 3 in IT
- GSCE – Grade A* – C
- Other related Level 3 qualifications
- CBSE, ISE, NIOS or All state boards of grade 12
- Relevant work experience (2 years minimum)
- Pass Subject Proficiency Test
- Pass English Proficiency Test
Course outline
Key points
- Fundamentals of AI
- Power BI
- Application design and development
Level – 4 Units
- Professional Practice in the Digital Economy
- Innovation and Digital Transformation
- Cyber Security
- Big Data & Visualisation
- Cloud Fundamentals
- Software Development Lifecycles
- Programming
- Fundamentals of Artificial Intelligence (AI) & Intelligent Systems
Level – 5 Units
- Business Intelligence
- Internet of Things
- Emerging Technologies
- Risk Analysis and Systems Testing
- Application Development
- Application Program Interfaces
- Digital Sustainability
- Pitching and Negotiating Skills
Mandatory fees | VISA not required – AED | Out Country – AED | In Country – AED | Notes |
---|---|---|---|---|
Registration fee | 525 | 525 | 525 | Non refundable |
Pearson Reg fee | 2,625 | 2,625 | 2,625 | per year including VAT |
VISA fee | 0 | 2,625 | 4,200 | per year including VAT |
Medical Insurance fee | 0 | 2,100 | 2,100 | per year including VAT |
Security Deposit | 0 | 1,500 | 1,500 | per year excluding VAT |
Net Tuition fee | 39,900 | 39,900 | 39,900 | per year including VAT |
Total fees | 43,050 | 49,275 | 50,850 | per year including VAT |
Progression
The Level 5 Higher National Diploma is recognised by higher education providers as meeting admission requirements to many relevant digital technology courses, for
- BA (Hons) in Animation
- BSc (Hons) in Artificial Intelligence
- BSc (Hons) in Business Analytics
- BSc (Hons) in Computer Science
- BSc (Hons) in Cyber Security
- BSc (Hons) in Data Science and Analytics
- BSc (Hons) in Network Engineering
- BA (Hons) in Social Media Management
- BSc (Hons) in Software Engineering
Admission process for all programs:
- Completed Application Form
- Most Recent Academic Transcript
- Passport Copy – valid copy required.
- Emirates ID (Front & Back- valid copies required).
- Updated Resume (if applicable)
- Proof of English Proficiency :
IELTS: Minimum score of 5.5
PTE: Minimum score of 45
Medium of Instruction (academic grade) with a minimum of 65 marks
Applicants with scores between 50-65 marks must attend a 10-minute pre-interview for English qualification review.